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I applied via Campus Placement and was interviewed in Apr 2024. There was 1 interview round.
Mcqs , general maths questions
It was about Quantitative aptitude and logical reasoning
Communication skills round
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and experience working with large datasets
I am proficient in statistical software such as R and Python
I have a proven track record of delivering actionable insights to drive business decisions
VIF stands for Variance Inflation Factor, a measure used to detect multicollinearity in regression analysis.
VIF is a statistic that quantifies the severity of multicollinearity in a regression analysis.
It measures how much the variance of the estimated regression coefficients is increased due to multicollinearity.
A VIF value greater than 10 is often considered indicative of multicollinearity.
To calculate VIF, each pred...
I applied via Job Portal and was interviewed in Dec 2023. There was 1 interview round.
MathCo interview questions for popular designations
11 questions 10 MCQ + 1 pseudocode
Case study was good and the topic was semiconductor
Get interview-ready with Top MathCo Interview Questions
The project involves developing a new software application for data analysis.
Developing a software application for data analysis
Utilizing programming languages such as Python and R
Implementing statistical models and algorithms
Creating visualizations and reports for data interpretation
I applied via Referral and was interviewed in Nov 2022. There were 3 interview rounds.
Hypothesis testing is a statistical method to test a claim about a population parameter. Type 1 error is rejecting a true null hypothesis, and type 2 error is failing to reject a false null hypothesis.
Hypothesis testing involves formulating a null hypothesis and an alternative hypothesis.
Type 1 error occurs when we reject a null hypothesis that is actually true.
Type 2 error occurs when we fail to reject a null hypothes...
Linear regression assumptions include linearity, independence, homoscedasticity, and normality.
Assumption of linearity: The relationship between the independent and dependent variables is linear.
Assumption of independence: The residuals are independent of each other.
Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Assumption of normality: The resid...
I applied via Campus Placement
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The duration of MathCo interview process can vary, but typically it takes about less than 2 weeks to complete.
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